An Introduction to Machine Learning

An Introduction to Machine Learning By Kubat, Miroslav Published by Springer Publication Date: 2021-09-27 Subject: Business & Economics Industries Computers & Information Technology, Business & Economics Industries - Computers & Information Technology, Computers Artificial Intelligence General, Computers Data Science Data Analytics, Computers Mathematical & Statistical Software, Computers Programming Algorithms, Computers Artificial Intelligence - General, Computers Data Science - Data Analytics, Computers Mathematical & Statistical Software, Computers Programming - Algorithms, Technology & Engineering Engineering (General), Technology & Engineering Engineering (General), Algorithms & Data Structures, Artificial Intelligence, Business Mathematics & Systems, Data Mining, Maths For Computer Scientists, Algorithms And Data Structures, Business Applications, Business Mathematics And Systems, Expert Systems Knowledge-Based Systems, Mathematical And Statistical Software, Mathematical Theory Of Computation, Probability And Statistics, Hc Informatik, Edv Informatik, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Hc Technik Allgemeines, Lexika, Hc Wirtschaft Management, Artificial Intelligence, Business Mathematics & Systems, Maths For Computer Scientists, Data Mining, Algorithms & Data Structures, Computers Artificial Intelligence General, Computers, Artificial Intelligence, General, Business & Economics Industries Computers & Information Technology, Business & Economics, Industries, Computers & Information Technology, Computers Mathematical & Statistical Software, Mathematical & Statistical Software, Computers Data Science Data Analytics, Data Science, Data Analytics, Computers Programming Algorithms, Programming, Algorithms, Technology & Engineering Engineering (General), Technology & Engineering, Engineering (General), Business Mathematics And Systems, Mathematical And Statistical Software, Expert Systems Knowledge-Based Systems, Expert Systems, Knowledge-Based Systems, Algorithms And Data Structures, Machine Learning, Anf: Computers And It Subject Keywords: Bayesian classifiers; boosting; computational learning theory; decision trees; genetic algorithms; linear and polynomial classifiers; nearest neighbor classifier; neural networks; performance evaluation; reinforcement learning; statistical learning; artificial intelligence; machine learning; data mining; deep learning; unsupervised learning; time-varying classes, imbalanced representation, Bayesian classifiers;boosting;computational learning theory;decision trees;genetic algorithms;linear and polynomial classifiers;nearest neighbor classifier;neural networks;performance evaluation;reinforcement learning;statistical learning;time-varying classes, imbalanced representation;artificial intelligence;machine learning;data mining;deep learning;unsupervised learning Genre: Artificial Intelligence, Business Mathematics & Systems, Maths For Computer Scientists, Data Mining, Algorithms & Data Structures, Computers, Artificial Intelligence, General, Business & Economics, Industries, Computers & Information Technology, Computers, Mathematical & Statistical Software, Computers, Data Science, Data Analytics, Computers, Programming, Algorithms, Technology & Engineering, Engineering (General), Artificial Intelligence, Business Mathematics And Systems, Maths For Computer Scientists, Mathematical And Statistical Software, Data Mining, Expert Systems, Knowledge-Based Systems, Algorithms And Data Structures Target Audience: Professional and scholarly